Quantitative Analysis Of Fatty Acids Research Articles

Profiling and quantitative analysis of underivatized fatty acids in Chlorella vulgaris microalgae by liquid chromatography-high resolution mass spectrometry.

Chlorella vulgaris is a popular microalga used for biofuel production; nevertheless, it possesses a strong cell wall that hinders the extraction of molecules, especially lipids within the cell wall. For tackling this issue, we developed an efficient and cost‐effective method for optimal lipid extraction. Microlaga cell disruption by acid hydrolysis was investigated comparing different temperatures and reaction times; after hydrolysis, lipids were extracted with n‐hexane. The best recoveries were obtained at 140°C for 90 min. The microalgae were then analyzed by an untargeted approach based on liquid chromatography with high‐resolution mass spectrometry, providing the tentative identification of 28 fatty acids. First, a relative quantification on the untargeted data was performed using peak area as a surrogate of analyte abundance. Then, a targeted quantitative method was validated for the tentatively identified fatty acids, in terms of recovery (78‐100%), intra‐ and interday relative standard deviations (<10 and <9%, respectively) and linearity (R 2 > 0.98). The most abundant fatty acids were palmitic, palmitoleic, oleic, linoleic, linolenic, and stearic acids.

Production, Quantitative Analysis of Fatty Acids, Engine Performance and Emission Characteristics of Biodiesel Fuel Derived from Virgin Coconut Oil

Biodiesel has become more attractive recently, because of its environmental benefits and the fact that it is made from renewable resources. Over the past few decades, most of the countries depending on diesel engines for transportation. Some of its valuable advantages like highest thermal efficiency made it very popular. At the same time, the cost of diesel fuel is increasing, due to the depletion of fossil fuels. In this current scenario, we need an alternative fuel instead of diesel fuel. Many of the researchers have successfully placed several works on generating energy from different types of alternative sources including solar and some kind of conversion processes including renewable agricultural products into liquid fuel. One of the biggest challenges for developing countries in relation to energy consumption is to develop and implement technologies that help to improve efficiency of automobile engines, also to reduce the emissions of harmful gases and particulate matters. In order to avoid environmental impacts, emissions are reduced or eliminated by introducing renewable energy resources. The present research chronicles the production and testing of renewable biodiesel fuel derived from virgin coconut oil on a diesel engine, to analyses the engine performance and emission characteristics. In the first phase of work, production of biodiesel fuel from virgin coconut oil using transeterification process with two types of catalysts (homogenous and heterogeneous). The preliminary results shows that, with the addition of homogenous catalyst called Potassium Hydroxide (KOH) with methanol shows much higher activity than that of heterogeneous catalysts, and it shows more similar properties with diesel fuel. The results obtained from the chemical test and physicochemical properties of transesterified biodiesel fuel clearly proves the above-mentioned statement. The chemical tests such as GCMS and FT-IR clearly shows that the biodiesel fuel has sufficient amount of volatile components and functional groups. Then, physicochemical properties include, Fire point, Flashpoint, density, and viscosity were analyzed. Finally, Engine performance and Emission characteristics were analysed to confirm, whether this biodiesel fuel is suitable for diesel engines, without any engine modifications. It was found to be, the transesterified virgin coconut oil biodiesel has similar properties to that of the diesel fuel. From the physiochemical properties and engine performance clearly shows that, coconut oil biodiesel is suitable for diesel engine on blending, at a blending percentage level of 20% with conventional diesel fuel. Since the obtained transesterified biofuel can be used as an alternative fuel for diesel engines. The several journal reports and find outs from experimental investigation clearly depicts that the efficiency of the transesterified biofuel mainly depends upon the amount of catalyst adding and type of catalysts present in the biofuel, whether it is homogenous or heterogeneous catalyst is suitable with methanol. Finally, from the analysis made from biodiesel fuel. Coconut Oil Biodiesel fuel has less emission characteristics than that of the diesel fuels.

Quantitative Analysis of Trans Fatty Acids in Cooked Soybean Oil Using Terahertz Spectrum

A method for the quantitative analysis of trans fatty acids (TFAs) in cooked soybean oil using terahertz (THz) spectrum is developed. The THz spectra of three groups of soybean oil samples that were cooked at different temperatures for various times were measured using a terahertz time-domain spectrum system (THz–TDS) with frequency range of 0.2–1.5 THz. A partial least squares (PLS) regression model based on the whole THz spectrum was constructed to predict the TFAs content in the cooked soybean oil samples. To reduce noise and improve the prediction accuracy of the model, a subinterval PLS (sub-PLS) model based on a part of the THz spectrum was constructed. This sub-PLS had high accuracy in predicting the TFAs content in cooked soybean oil samples (R = 0.987 and RMSECV = 0.956).

Analysis of Nitraria Tangutourum Bobr-Derived Fatty Acids with HPLC-FLD-Coupled Online Mass Spectrometry.

Fatty acids (FAs) are basic components in plants. The pharmacological significance of FAs has attracted attentions of nutritionists and pharmaceutists. Sensitive and accurate detection of FAs is of great importance. In the present study, a pre-column derivatization and online mass spectrometry-based qualitative and quantitative analysis of FAs was developed. Nineteen main FAs were derivatized by 2-(7-methyl-1H-pyrazolo-[3,4-b]quinoline-1-yl)ethyl-4-methyl benzenesulfonate (NMP) and separated on reversed-phase Hypersil BDS C8 column with gradient elution. All FAs showed excellent linear responses with correlation coefficients more than 0.9996. The method obtained LOQs between 0.93 ng/mL and 5.64 ng/mL. FA derivatives were identified by both retention time and protonated molecular ion corresponding to m/z [M + H]+. A comparative study based on FA contents in peel and pulp, seeds and leaves of Nitraria tangutourum Bobr (NTB) from different geographical origins was performed with the established method. Results indicated that NTB were rich in FAs, and the types and contents of FAs varied among tissues. On the other hand, the same tissue of NTB from different geographical areas differed in the content, but not in type, of FAs.

Comprehensive Evaluation of Parameters Affecting One-Step Method for Quantitative Analysis of Fatty Acids in Meat.

Despite various direct transmethylation methods having been published and applied to analysis of meat fatty acid (FA) composition, there are still conflicting ideas about the best method for overcoming all the difficulties posed by analysis of complex mixtures of FA in meat. This study performed a systematic investigation of factors affecting a one-step method for quantitative analysis of fatty acids in freeze-dried animal tissue. Approximately 280 reactions, selected using factorial design, were performed to investigate the effect of temperature, reaction time, acid concentration, solvent volume, sample weight and sample moisture. The reaction yield for different types of fatty acids, including saturated, unsaturated (cis, trans and conjugated) and long-chain polyunsaturated fatty acids was determined. The optimised condition for one-step transmethylation was attained with four millilitres 5% sulfuric acid in methanol (as acid catalyst), four millilitres toluene (as co-solvent), 300 mg of freeze-dried meat and incubation at 70 °C for 2 h, with interim mixing by inversion at 30, 60 and 90 min for 15 s. The optimised condition was applied to meat samples from different species, covering a broad range of fat content and offers a simplified and reliable method for analysis of fatty acids from meat samples.

ABCG1 contributes to suberin formation in Arabidopsis thaliana roots

Diffusion barriers enable plant survival under fluctuating environmental conditions. They control internal water potential and protect against biotic or abiotic stress factors. How these protective molecules are deposited to the extracellular environment is poorly understood. We here examined the role of the Arabidopsis ABC half-size transporter AtABCG1 in the formation of the extracellular root suberin layer. Quantitative analysis of extracellular long-chain fatty acids and aliphatic alcohols in the atabcg1 mutants demonstrated altered root suberin composition, specifically a reduction in longer chain dicarboxylic acids, fatty alcohols and acids. Accordingly, the ATP-hydrolyzing activity of heterologous expressed and purified AtABCG1 was strongly stimulated by fatty alcohols (C26–C30) and fatty acids (C24–C30) in a chain length dependent manner. These results are a first indication for the function of AtABCG1 in the transport of longer chain aliphatic monomers from the cytoplasm to the apoplastic space during root suberin formation.

NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: A comparison

The aim of this study was to develop near-infrared reflectance spectroscopy (NIRS) calibrations for estimation of chemical components (protein, fat, ash and moisture) and the principal fatty acid (FA) groups (SFA, MUFA, PUFA, n−3, n−6) in beef meat. Beef samples (n = 207) of three different muscles (Longissimus dorsi, Rectus abdominis and Semitendinosus) were used for the study. The calibration models were performed both on raw and freeze-dried (FD) meat. Raw meat predictions for protein, fat and ash were performed, using reference values expressed as percentage on dry-matter (DM) or fresh-minced (FM) weights. In addition, FD meat predictions for the same chemical components were developed. FA predictive models were based on the relative composition of FA (weight percent of total FA). The predictability of calibrations based on FD meat was higher than that of models based on raw samples, except for n−3. Regarding the raw meat, the calibration models obtained from reference values expressed on DM basis were better than those obtained from data expressed on FM basis. In addition, because of the low coefficients of determination of prediction (R2p) and the low RPD obtained, NIRS models of FA families are not useful for a quantitative fatty acid analysis.

Quantitative analysis of free fatty acids in gout by disposable paper-array plate based MALDI MS

The quantitative determination of small molecules by matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI TOF MS) was always challenging, due to low sensitivity and interferences of matrix and other contaminants on sample plates. Here we report a disposable paper-array (PA) plate in MALDI TOF MS analysis for quantitative analysis of serum free fatty acids (FFAs) with less interference and higher sensitivity, compared with conventional stainless steel (SS) plate. The disposable PA plate was low cost and environmentally friendly. In particular, it was more sensitive in FFAs detection with ~8–34-fold sensitivity increase for eight FFAs as compared to SS plate. Eight serum FFAs in gout patients were investigated using this disposable PA plate. The quantitative results showed good linearity of all eight FFAs between 0.1 and 2.5 mM with correlation coefficients between 0.994 and 0.999 and limits of detection (LODs) between 8.6 and 104.2 μM. Mann-Whitney U test, principal component analysis (PCA) and random forest categorizer allowed the clear separation of gout patients from healthy controls, according to eight FFAs levels in serum detected by disposable PA plate based MALDI TOF MS.

P166: Quantitative Analysis of Fatty acids in Animal-based Medicinal Materials by Gas Chromatography-Flame Ionization Detector (GC-FID)

Shoulder arthroplasty (SA) procedures are increasingly performed in the United States. However, there is a lack of data evaluating how patient sex may affect perioperative complications. The purpose of this study was to evaluate sex-based differences in 30-day postoperative complication and readmission rates after SA.Total SA and reverse SA cases between 2012-2016 were identified from the American College of Surgeons National Surgical Quality Improvement Program database. The 30-day complication rate, readmission rate, operation time, length of stay, and mortality were compared between women and men. Multivariable logistic regression analysis was performed to identify independent perioperative complications associated with patient sex.Of 12,530 SA cases, 6949 (55.4%) were female and 5499 (44.5%) were male. Compared with women, on average men were significantly younger, had lower body mass index, and were less likely to be functionally dependent, and less likely to have an American Society of Anesthesiologists score of 3+ (P < .001). Although overall complications and readmission rates between women and men were similar (3.4% vs. 3.7%, P = .489; 3.0% vs. 2.8%, P = .497), men were significantly less likely to develop urinary tract infections (UTIs; odds ratio [OR] 0.58, P = .032) and require transfusions (OR 0.49, P < .001) and had shorter lengths of stay (P < .001). However, men were significantly more likely to have a superficial surgical site infection (OR 2.63, P = .035) and 6.8 minute longer operating time (P < .001) compared with women.Though the overall complication risk is similar between the sexes, their risk profiles are distinct. Men had decreased risk of UTI, blood transfusions, and shorter length of stay but increased risk of surgical site and longer operating time compared with women. This disparity should be discussed when counseling and risk-stratifying patients for SA.

Determination of fatty acids in the seeds of Lepidium apetalum Willdenow, Descurainia sophia (L.) Webb ex Prantl, and Draba nemorosa L. by ultra-high-performance liquid chromatography equipped with a charged aerosol detector

Both the contents of fatty acids and the ratios of unsaturated to saturated fatty acids are important parameters for determining the nutritional values of oils. Thus, we herein evaluated the fatty acids present in the seed oils of Lepidium apetalum Willdenow, Descurainia sophia (L.) Webb ex Prantl, and Draba nemorosa L. as sources of Lepidii seu Descurainiae Semen seeds in Northeast Asian Countries. We developed a method based on ultra-high-performance liquid chromatography using a charged aerosol detector for the quantitative analysis of fatty acids in the seed oils. This technique is less time-consuming than previous methods as derivatization of the oils is not required. Our method was developed though the comparison of a UV detector with a charged aerosol detector, and various stationary phases and gradient programs were tested. In addition, method validation was carried out according to the International Conference on Harmonization guidelines with respect to linearity, precision, and accuracy. We found that the quantities of unsaturated fatty acids (6.051–282.376 mg/g) were higher than those of saturated fatty acids (0.855–12.548 mg/g) in all plant seed oils. The proposed method is reproducible and convenient, and therefore, is suitable for the quantitative analysis of fatty acids in plant oils.

LC-MS/MS-MRM-Based Targeted Metabolomics for Quantitative Analysis of Polyunsaturated Fatty Acids and Oxylipins.

LC-MS/MS with multiple reaction monitoring (MRM) is a powerful tool for targeted metabolomics analysis including screening and quantification of known metabolites. Given the complexity of biological samples, the difference in ionization efficiency, and signal intensity of each metabolite, isotopically labeled internal standards are often used for accurate quantification. In this chapter, we describe a detailed protocol for the quantitative analysis of polyunsaturated fatty acids (PUFAs) and their oxidized products (oxylipins) by LC-MS/MS-MRM with isotope dilution. PUFAs are very susceptible to oxidation by both enzymatic and nonenzymatic pathways. Free PUFAs and corresponding oxylipins, known as bioactive lipids, are involved in many processes with varying biological functions depending on their chemical structure and concentration. Accurate quantification is thus becoming crucial to understanding the role of these bioactive lipids in health, disease(s), and other settings.

Large-volume injection gas chromatography-vacuum ultraviolet spectroscopy for the qualitative and quantitative analysis of fatty acids in blood plasma

Qualitative and quantitative determination of fatty acids in plasma is of extreme importance as these are indicators of metabolic diseases. In this work, a sensitive and rugged method for detecting and quantifying fatty acids (as fatty acid methyl ester derivatives, FAMEs) in blood plasma was developed. The use of large-volume injection (LVI) gas chromatography-vacuum ultraviolet spectroscopy (GC-VUV) for analysis of fatty acids in blood plasma allowed the injection of higher sample volumes to accommodate sufficient analyte on-column for necessary detection ranges with a run time of 45 min. Calibration curves exhibited consistent linearity and reproducibility and were used along with internal standards for the quantification of 11 saturated and 21 unsaturated fatty acids. Intra-day and inter-day (n = 6) CVs had an average of 5 and 6%, respectively, and recoveries an average of 105%. The concentrations of EPA, DHA, and AA, as well as the omega-3 index and omega-6/omega-3 ratio, were calculated and compared with clinically actionable measurement ranges. Due to the use of LVI, the more volatile analyte (C8:0) was lost and therefore impossible to quantify. The volatility cutoff was determined to be the C10:0 analyte with a molecular weight of 186.295 g/mol.

Influence of the sebaceous gland density on the stratum corneum lipidome.

The skin surface lipids (SSL) result from the blending of sebaceous and epidermal lipids, which derive from the sebaceous gland (SG) secretion and the permeability barrier of the stratum corneum (SC), respectively. In humans, the composition of the SSL is distinctive of the anatomical distribution of the SG. Thus, the abundance of sebum biomarkers is consistent with the density of the SG. Limited evidence on the influence that the SG exerts on the SC lipidome is available. We explored the differential amounts of sebaceous and epidermal lipids in areas at different SG density with lipidomics approaches. SC was sampled with adhesive patches from forearm, chest, and forehead of 10 healthy adults (8F, 2M) after mechanical removal of sebum with absorbing paper. Lipid extracts of SC were analysed by HPLC/(-)ESI-TOF-MS. In the untargeted approach, the naïve molecular features extraction algorithm was used to extract meaningful entities. Aligned and normalized data were evaluated by univariate and multivariate statistics. Quantitative analysis of free fatty acids (FFA) and cholesterol sulfate (CHS) was performed by targeted HPLC/(-)ESI-TOF-MS, whereas cholesterol and squalene were quantified by GC-MS. Untargeted approaches demonstrated that the relative abundance of numerous lipid species was distinctive of SC depending upon the different SG density. The discriminating species included FFA, CHS, and ceramides. Targeted analyses confirmed that sebaceous FFA and epidermal FFA were increased and decreased, respectively, in areas at high SG density. CHS and squalene, which are biomarkers of epidermal and sebaceous lipid matrices, respectively, were both significantly higher in areas at elevated SG density. Overall, results indicated that the SG secretion intervenes in shaping the lipid composition of the epidermal permeability barrier.

Quantitative analysis of the higher fatty acids in acetone solutes (AS) from raw natural rubber and their impacts on the structure and properties of NR/silica composites

Traditionally, non-isoprene components as higher fatty acids in raw NR (natural rubber) were neglected in composites. Here, linoleic acid (LA), stearic acid (SA) in acetone solutes (AS) from different raw NR were analyzed quantificationally by high resolution pyrolysis gas chromatography mass spectrometry (HRPyGC–MS) firstly, where the relative amounts of LA and SA in AS were arranged as AS-STR (Standard Thailand Rubber) > AS-WF > AS-SMR (Standard Malaysia Rubber) > AS-MRSS (Myanmar Smoked Sheet Rubber). The impacts of LA and SA on the structure and properties of NR/silica composites were also investigated. Consequently, the mechanical and dynamical properties of composites were improved significantly by increasing the amount of LA or SA. Further, LA performed better than SA on decreasing the low rolling resistance of composites. Finally, esterification reaction, hydrogen bond between −COOH and Si-OH in NR/silica/LA and NR/silica/SA systems both were verified via Fourier transformation infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS). The present findings provide a new introspection about regulating the quality of raw NR from the hevea brasiliensis planting.

Qualitative and quantitative analysis of lipo-alkaloids and fatty acids in Aconitum carmichaelii using LC-MS and GC-MS.

Lipo-alkaloid (LA) is a kind of C19 -norditerpenoid alkaloid in Aconitum species, which usually contains an aconitane skeleton and one or two fatty acid residues. To qualify and quantify the fatty acids and lipo-alkaloids in Aconitum carmichaelii. An ultra-high performance liquid chromatography-triple quadrupole-mass spectrometry (UHPLC-QQQ-MS) method was established to quantify LAs, while the free fatty acids were identified by gas chromatography-mass spectrometry (GC-MS) and ultra-high performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry (UHPLC-Q-TOF-MS). Six major LAs (1-6) containing linoleic, palmitic, and oleic acid residues as side chains were quantified. Eighteen fatty acids were determined by GC-MS, and 15 were detected as the side chains of LAs. The LAs containing these 15 fatty acid residues accounted for about a third of the total identified LAs. Moreover, the contents of linoleic, palmitic, and oleic acids were highest. In addition, 12 oxygenated fatty acids were also identified by UHPLC-Q-TOF-MS for the first time. The positive correlation between free fatty acids and LAs in A. carmichaelii indicated that the types and contents of LAs were influenced by free fatty acids.

Isolation and Ultra-Purification of Oleic Acid Extracted from Olive Oil Using Urea Crystallization

Oleic acid is an omega-9 fatty acid that is found naturally in many vegetable sources and animal products The major component in olive oil is the triglyceride esters of oleic acid. This triglyceride is one of the sources of good cholesterol. Oleic acid USP-NF (United States Pharmacopeia-National Formulary) material is a common pharmaceutical excipient that has been widely used in various dosage forms. In this paper we are describing a method for isolation and purification oleic acid in a high purity 99% from fatty acids extracted from olive oil in coastal region of Syria by selectively using urea addition crystallization and cooling crystallization. A gas chromatography-flame ionization detection (GC-FID) method was used for direct quantitative analysis of oleic acid and related fatty acids in oleic acid USP-NF material.

Evaluation of Lipids for the Study of Photosynthetic Membranes.

The biological role of lipids goes far beyond the formation of a structural membrane bilayer platform for membrane proteins and controlling fluxes across the membranes. For example, in photosynthetic thylakoid membranes, lipids occupy well-defined binding niches within protein complexes and determine the structural organization of membrane proteins and their function by controlling generic physicochemical membrane properties. In this chapter, two-dimensional thin-layer chromatography (2D TLC) and gas chromatography (GC) techniques are presented for quantitative analysis of lipid classes and fatty acids in thylakoid membranes. In addition, lipid extraction methods from isolated thylakoid membranes and leaves are described together with a procedure for derivatization of fatty acids to fatty acid methyl esters (FAME) that is required for GC analysis.

Fatty acid trophic markers in Lake Baikal phytoplankton: A comparison of endemic and cosmopolitan diatom-dominated phytoplankton assemblages

Recent changes in phytoplankton community in Lake Baikal suggest the reduction in bloom of endemic diatoms takes place. How much these changes affect primary production remains unknown. Fatty acids are suitable biomarkers of the phytoplankton food quality. In our work we present the data of the qualitative and quantitative analysis of fatty acids (FA) in net samples of Lake Baikal phytoplankton. According to microscopic analysis of the samples the main phytoplankton groups were diatoms (Bacillarophyceae), golden algae (Chrysophyceae), green algae (Chlorophyceae), and Dinophytes (Dinophyceae). Visual quantification of cells showed that Synedra acus subsp. radians, Aulacoseira islandica, Synedra ulna, and Aulacoseira baicalensis were dominant diatom species. The first three species are cosmopolitan and the last one is endemic. Gas chromatography–mass spectrometry analysis revealed that the fatty acid biomarker values reflect changes in phytoplankton community structure in Lake Baikal. The trophic markers of the phytoplankton dominated by endemic A. baicalensis were higher compared to the phytoplankton dominated by cosmopolitan S. acus subsp. radians. The long-chain essential FA (LCEFA, %DW) and FA-based food quality index (FQI) for endemic assemblage were 1.85 and 0.75, while for the cosmopolitan assemblage −0.70 and 0.28, correspondingly. Our data suggest that reduction in bloom of endemic A. baicalensis may negatively affect the Lake Baikal ecosystem due to probable lower LCEFA production and, consequently, lower total productivity of the lake.

Development of a GC/MS method for the qualitative and quantitative analysis of mixtures of free fatty acids and metal soaps in paint samples

In this paper we present a new analytical GC/MS method for the analysis of mixtures of free fatty acids and metal soaps in paint samples. This approach is based on the use of two different silylating agents: N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA) and 1,1,1,3,3,3-hexamethyldisilazane (HMDS).Our experimentation demonstrated that HMDS does not silylate fatty acid carboxylates, so it can be used for the selective derivatization and GC/MS quantitative analysis of free fatty acids. On the other hand BSTFA is able to silylate both free fatty acids and fatty acids carboxylates. The reaction conditions for the derivatization of carboxylates with BSTFA were thus optimized with a full factorial 32 experimental design using lead stearate and lead palmitate as model systems. The analytical method was validated following the ICH guidelines. The method allows the qualitative and quantitative analysis of fatty acid carboxylates of sodium, calcium, magnesium, aluminium, manganese, cobalt, copper, zinc, cadmium, and lead and of lead azelate. In order to exploit the performances of the new analytical method, samples collected from two reference paint layers, from a gilded 16th century marble sculpture, and from a paint tube belonging to the atelier of Edvard Munch, used in the last period of his life (1916–1944), were characterized.

A rapid quantitative analysis of bile acids, lysophosphatidylcholines and polyunsaturated fatty acids in biofluids based on ultraperformance liquid chromatography coupled with triple quadrupole tandem massspectrometry.

Much evidence suggested that quantitative analysis of bile acids (BAs), lysophosphatidylcholines (LPCs), and polyunsaturated fatty acids (PUFAs) in biofluids may be very useful for diagnosis and prevention of hepatobiliary disease with a non-invasive manner. However, simultaneously fast analysis of these metabolites has been challenging for their huge differences of physicochemical properties and concentration levels in biofluids. In this study, we present a liquid chromatography-mass spectrometry method with a high throughput analytical cycle (10min) to fast and accurately quantify fifteen potential biomarkers (eight BAs, four LPCs and three PUFAs) of hepatobiliary disease. The accuracy for the fifteen analytes in plasma and urine matrices was 80.45%-118.99% and 84.55%-112.66%, respectively. The intra- and inter- precisions for the fifteen analytes in plasma and urine matrices were all less than 20% and the lower limit of quantification (LLOQ) of analytes is up to 0.0283-8.2172nmol/L. Therefore, this method is fast, sensitive and accurate for the quantitative analysis of BAs, LPCs and PUFAs in biofluids. Moreover, the stability and concentration differences of the analytes in plasma and serum were evaluated, and the results demonstrated that LPCs is stable, but PUFAs is very unstable in freeze and thaw cycles, and the concentrations of the analytes in serum were slightly higher than those in plasma. We suggested plasma may be a kind of better bio-sample than serum using for quantitative analysis of metabolites in blood, due to the characteristics of plasma are more close to blood than those of serum.